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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 3-RES-JB
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    Explanations

    words related to protests and clashes, particularly involving police forces

    oai_token-act-pair · gpt-3.5-turbo

    instances of police engagement during protests or riots

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ministic
    -0.84
     matured
    -0.82
     Tycoon
    -0.71
    abase
    -0.70
     fab
    -0.69
     underrated
    -0.68
     mature
    -0.67
     Realms
    -0.67
     probabilities
    -0.66
    gebra
    -0.66
    POSITIVE LOGITS
     protestors
    1.20
     protesters
    1.17
     protest
    1.16
     protester
    1.10
     Protesters
    1.09
     protests
    1.09
     demonstrators
    1.08
     Protest
    1.06
     chanting
    1.03
     demonstrations
    0.99
    Activations Density 0.602%

    No Known Activations